| 基于大数据的图书馆用户个性化隐私保护策略 |
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| 引用本文： | 马晓亭,李,凌.基于大数据的图书馆用户个性化隐私保护策略[J].现代情报,2014,34(3):60-62,67. |
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| 作者姓名： | 马晓亭 李 凌 |
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| 作者单位： | 兰州商学院信息工程学院, 甘肃 兰州730020 |
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| 摘 要： | 近年来，用户隐私保护问题已成为大数据时代图书馆的研究热点，用户数据隐私保护的意义显得尤为重要。本文介绍了大数据时代图书馆用户隐私保护问题的研究背景，提出了一种基于大数据的图书馆用户个性化隐私保护策略，从隐私政策、隐私保护技术、数据可用性分析和图书馆监管4个重要方面，对图书馆用户的隐私保护问题进行了分析与总结。
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| 关 键 词： | 大数据 图书馆用户 个性化 隐私保护 |
Personalized Privacy Preserving Strategy for Users of the Library Based on Big Data |
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| Authors: | Ma Xiaoting Li Ling |
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| Institution: | School of Information Engineering, Lanzhou University of Finance and Economics, Lanzhou 730020, China |
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| Abstract: | In recent years, the privacy preserving for users of tile library have become a hotspot in big data era, the signif- icance of protecting data privacy for users becomes more prominent. In this paper, the research background of privacy preserving for users of the library in big data era was presented. Then, it discussed personalized privacy preserving strategy for users of the library based on big data, four important aspects of privacy preserving for user of the library were summarized and analyzed in de- tail, including privacy policy, privacy preserving technologies, data utility analysis, and tile supervision of library. |
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| Keywords: | big data user of the library personalized privacy protecting |
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